A FAST SEARCH ALGORITHM FOR SUB-PIXEL MOTION ESTIMATION IN H.264

Dong-kyun Park, Hyo-moon Cho, Jong-Hwa Lee

2007

Abstract

We propose the advanced sub-pixel block matching algorithm to reduce the computational complexity by using a statistical characteristic of SAD (Sum of Absolute Difference). Generally, the probability of the minimum SAD values is highest when a searching point has one pixel distance from the reference point. Thus, we can overcome high computational complexity problem by reducing the searching area. The main concept of proposed algorithm is one of the fast searching algorithms based on TSS (Three Step Search) method. First, we find three minimal SAD points of all nine searching points on integer distance and then we obtain two minimal SAD points on 1/2-pixel between the second minimal SAD point and the first, and between the third and first, respectively. Finally, we can find matching point by comparing the SAD values among six points which are on triangle from the first minimal SAD point and two 1/2-pixel points including 1/4-pixels. The proposed algorithm in this paper needs only 14 searching points in sub-pixel mode, whereas the conventional TSS method needs total 25 searching points. Therefore, this algorithm improves the processing speed as 51%.

References

  1. Cheng Du, Yun He, and Junli Zheng, “PPHS: A Parabolic Prediction-Based, Fast Half-Pixel Search Algorithm for Very Low Bit-Rate Moving-Picture Coding”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, No.6, June 2003.
  2. Bo Zhou, Jian Chen, “A Fast Two-Step Search Algorithm for Half-Pixel Motion Estimation”, ICECS 2003, Proceedings of the 2003 10th IEEE International Conference, Vol 2, pp 14-17, Dec 2003.
  3. H. M. Wong, O. C. Au, J. Huang, S. Zhang and W. Z. Yan, “Sub-Optimal Quarter- Pixel Inter-Prediction Algorithm (SQIA)," ICASSP 7805. IEEE International Conference on Volume 2, pp. 921-924, March 18-23, 2005.
  4. Iain E, G. Richardson, “Video Codec Design” pp102 10 5, willey
  5. Richardson, “H.264 and MPEG-4 Video compression”, Willey
  6. W Zhenyu, J Baochen, Z Xudong, C Yu, “A New Fullpixel and Sub-pixel Motion Vector Search Algorithm for Fast Block-matching Motion Estimation”, Image and Graphics, 2004. Proceedings. Third International Conference , ICIG'04, pp1820, Dec 2004 .
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Paper Citation


in Harvard Style

Park D., Cho H. and Lee J. (2007). A FAST SEARCH ALGORITHM FOR SUB-PIXEL MOTION ESTIMATION IN H.264 . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 135-138. DOI: 10.5220/0002139801350138


in Bibtex Style

@conference{sigmap07,
author={Dong-kyun Park and Hyo-moon Cho and Jong-Hwa Lee},
title={A FAST SEARCH ALGORITHM FOR SUB-PIXEL MOTION ESTIMATION IN H.264},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={135-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002139801350138},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - A FAST SEARCH ALGORITHM FOR SUB-PIXEL MOTION ESTIMATION IN H.264
SN - 978-989-8111-13-5
AU - Park D.
AU - Cho H.
AU - Lee J.
PY - 2007
SP - 135
EP - 138
DO - 10.5220/0002139801350138